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Update notebook on Chronos-2 deployment to SageMaker (#444)
*Issue #, if available:* *Description of changes:* - Refactor the notebook to cover real-time inference (CPU & GPU), serverless inference and batch prediction options for Chronos-2 on SageMaker - Update README By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
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## 🚀 News
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- **30 Dec 2025**: ☁️ Deploy Chronos-2 to AWS with Amazon SageMaker: new guide covers real-time inference (GPU/CPU), serverless endpoints with automatic scaling, and batch transform for large-scale forecasting. See the [deployment tutorial](notebooks/deploy-chronos-to-amazon-sagemaker.ipynb).
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- **20 Oct 2025**: 🚀 [Chronos-2](https://huggingface.co/amazon/chronos-2) released. It offers _zero-shot_ support for univariate, multivariate, and covariate-informed forecasting tasks. Chronos-2 achieves the best performance on fev-bench, GIFT-Eval and Chronos Benchmark II amongst pretrained models. Check out [this notebook](notebooks/chronos-2-quickstart.ipynb) to get started with Chronos-2.
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- **14 Feb 2025**: 🚀 Chronos-Bolt is now available on Amazon SageMaker JumpStart! Check out the [tutorial notebook](notebooks/deploy-chronos-to-amazon-sagemaker.ipynb) to learn how to deploy Chronos endpoints for production use in 3 lines of code.
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- **12 Dec 2024**: 📊 We released [`fev`](https://github.com/autogluon/fev), a lightweight package for benchmarking time series forecasting models based on the [Hugging Face `datasets`](https://huggingface.co/docs/datasets/en/index) library.
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- **26 Nov 2024**: ⚡️ Chronos-Bolt models released [on HuggingFace](https://huggingface.co/collections/amazon/chronos-models-65f1791d630a8d57cb718444). Chronos-Bolt models are more accurate (5% lower error), up to 250x faster and 20x more memory efficient than the original Chronos models of the same size!
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- **13 Mar 2024**: 🚀 Chronos [paper](https://arxiv.org/abs/2403.07815) and inference code released.
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